Nutritional risk index predicts survival in patients undergoing transcatheter aortic valve replacement.


Journal

International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291

Informations de publication

Date de publication:
01 Feb 2019
Historique:
received: 04 05 2018
revised: 12 08 2018
accepted: 15 11 2018
pubmed: 27 11 2018
medline: 28 8 2019
entrez: 27 11 2018
Statut: ppublish

Résumé

Among patients undergoing transcatheter aortic valve replacement (TAVR), prognosis is impacted by nutritional status, but the influence of the nutritional risk index (NRI) is unknown. Here we calculated the NRI to determine the prevalence and prognostic impact in terms of mortality of malnutrition in TAVR patients. This retrospective multicenter study included 941 patients who underwent TAVR between 2008 and 2016 (mean age, 80.7 ± 6.5 years; 57% female). The NRI was calculated as 1.519 × albumin (g/L) + 41.7 × (real weight [kg] / ideal weight [kg]). The mean NRI was 98.1 ± 7.0%. The patients were stratified into the following groups based on malnutrition risk: severe (NRI < 83.5; n = 83; 8.82%), moderate (83.5 ≥ NRI < 97.5; n = 370; 39.32%), mild (97.5 ≥ NRI < 100; n = 102; 10.84%), and no risk (NRI ≥ 100; n = 386; 41.02%). During the follow-up period (2.1 ± 1.1 years), 186 patients died, representing 19.8% of the total cohort. Cox regression models were used to analyze the relationship between NRI and mortality during follow-up. Compared to patients with no or mild nutritional risk, those with moderate or severe nutritional risk had a 45% greater risk of mortality during follow-up (adjusted HR, 1.45; 95% CI, 1.05-1.99; P = 0.021). Malnutrition is common among TAVR patients. Our present data indicated that the NRI was independently associated with increased risk of death during long-term follow-up after TAVR. Based on its potential to improve risk prediction, NRI appears to be a promising tool for the clinical assessment of patients who are candidates for TAVR.

Sections du résumé

BACKGROUND BACKGROUND
Among patients undergoing transcatheter aortic valve replacement (TAVR), prognosis is impacted by nutritional status, but the influence of the nutritional risk index (NRI) is unknown. Here we calculated the NRI to determine the prevalence and prognostic impact in terms of mortality of malnutrition in TAVR patients.
METHODS AND RESULTS RESULTS
This retrospective multicenter study included 941 patients who underwent TAVR between 2008 and 2016 (mean age, 80.7 ± 6.5 years; 57% female). The NRI was calculated as 1.519 × albumin (g/L) + 41.7 × (real weight [kg] / ideal weight [kg]). The mean NRI was 98.1 ± 7.0%. The patients were stratified into the following groups based on malnutrition risk: severe (NRI < 83.5; n = 83; 8.82%), moderate (83.5 ≥ NRI < 97.5; n = 370; 39.32%), mild (97.5 ≥ NRI < 100; n = 102; 10.84%), and no risk (NRI ≥ 100; n = 386; 41.02%). During the follow-up period (2.1 ± 1.1 years), 186 patients died, representing 19.8% of the total cohort. Cox regression models were used to analyze the relationship between NRI and mortality during follow-up. Compared to patients with no or mild nutritional risk, those with moderate or severe nutritional risk had a 45% greater risk of mortality during follow-up (adjusted HR, 1.45; 95% CI, 1.05-1.99; P = 0.021).
CONCLUSION CONCLUSIONS
Malnutrition is common among TAVR patients. Our present data indicated that the NRI was independently associated with increased risk of death during long-term follow-up after TAVR. Based on its potential to improve risk prediction, NRI appears to be a promising tool for the clinical assessment of patients who are candidates for TAVR.

Identifiants

pubmed: 30473334
pii: S0167-5273(18)32936-X
doi: 10.1016/j.ijcard.2018.11.097
pii:
doi:

Types de publication

Journal Article Multicenter Study Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

66-71

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Rocío González Ferreiro (R)

Servicio de Cardiología, Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Facultad de Medicina, Universidad de Salamanca, y CIBERCV, Salamanca, Spain; Servicio de Cardiología, Hospital Clínico Universitario de Santiago, Instituto de Investigación Sanitaria de Santiago de Compostela (IDICHUS), y CIBERCV, Santiago de Compostela, Spain.

Antonio J Muñoz-García (AJ)

Hospital Clínico Universitario Virgen de la Victoria de Málaga, Málaga, Spain.

Diego López Otero (D)

Servicio de Cardiología, Hospital Clínico Universitario de Santiago, Instituto de Investigación Sanitaria de Santiago de Compostela (IDICHUS), y CIBERCV, Santiago de Compostela, Spain. Electronic address: birihh@yahoo.es.

Pablo Avanzas (P)

Hospital Universitario Central de Asturias, Oviedo, Spain.

Isaac Pascual (I)

Hospital Universitario Central de Asturias, Oviedo, Spain.

Juan H Alonso-Briales (JH)

Hospital Clínico Universitario Virgen de la Victoria de Málaga, Málaga, Spain.

José R González-Juanatey (JR)

Servicio de Cardiología, Hospital Clínico Universitario de Santiago, Instituto de Investigación Sanitaria de Santiago de Compostela (IDICHUS), y CIBERCV, Santiago de Compostela, Spain.

Federico Pun (F)

Hospital Universitario Central de Asturias, Oviedo, Spain.

Manuel F Jiménez-Navarro (MF)

Hospital Clínico Universitario Virgen de la Victoria de Málaga, Málaga, Spain.

José M Hernández-García (JM)

Hospital Clínico Universitario Virgen de la Victoria de Málaga, Málaga, Spain.

César Morís (C)

Hospital Universitario Central de Asturias, Oviedo, Spain.

Ramiro Trillo Nouche (R)

Servicio de Cardiología, Hospital Clínico Universitario de Santiago, Instituto de Investigación Sanitaria de Santiago de Compostela (IDICHUS), y CIBERCV, Santiago de Compostela, Spain.

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Classifications MeSH